Abstract: Given the increasing need of cross-regional interconnection and multi-energy synergy in energy systems, blockchain will be of great value in enabling cooperation and mutual trust among interested parties. As a core component of blockchain, consensus algorithm impacts the performance of blockchain. However, existing energy blockchain application schemes have not compared the performances of consensus algorithms from a quantitative manner and selected appropriate consensus algorithms according to the characteristics of applications. This paper designed a multi-dimensional quantitative evaluation method for consensus algorithms. Using distributed energy trading as an example, it proposed an energy blockchain implementation scheme based on two-stage hybrid consensus algorithms. It compared the advantages and disadvantages of two hybrid consensus algorithms under Substrate, and summarized the applicability of the two consensus algorithms in the proposed implementation scheme. Simulation showed that the two consensus algorithms haddifferent performances, making it necessary to tailor appropriate consensus algorithms for different applications. The evaluation indicators, evaluation method, empirical tools, and quantitative insights could provide reference for other applications to select the most suitable energy blockchain consensus algorithms.